Portrait of Mukhammaddiyor Abdulazimov

Mukhammaddiyor Abdulazimov

AI student at Harbin Engineering University · ML inference & full-stack

3rd-year Artificial Intelligence student (English-taught) at Harbin Engineering University. I benchmark and quantize models for CPU inference, build reproducible ML evaluations, and have 2+ years of full-stack experience on real client projects. Open to AI/ML and full-stack internships.

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Featured projects

All projects

CPU Inference Benchmark

PyTorch, ONNX Runtime and OpenVINO on one laptop CPU, FP32 vs INT8, with a controlled measurement method.

  • 3.48×ResNet-18 INT8 vs FP32, OpenVINO
  • 2.6 msOpenVINO INT8, batch 1
  • PyTorch
  • ONNX Runtime
  • OpenVINO
  • NNCF

DetailsGitHub

SST Baselines

Baselines and a reproducible evaluation for daily sea surface temperature (NOAA OISST) in two North Pacific regions.

  • 6baselines compared
  • 40tests
  • Python
  • NOAA OISST
  • Ridge regression

DetailsGitHub

RoadAI

Transfer-operations platform (MVP, pilot in preparation): driver app, dispatcher dashboard and LLM document extraction with human review.

  • 646automated checks
  • 3test suites
  • FastAPI
  • Flutter
  • React
  • PostgreSQL

DetailsCase study (app code is private)

Gesture Control

Controls the computer with hand gestures through a webcam, using MediaPipe hand tracking and OpenCV.

  • 29.9 FPScamera + tracking, CPU
  • 228tests in ~1.6 s
  • MediaPipe
  • OpenCV
  • Python

DetailsGitHub

Skills

ML & inference

  • PyTorch
  • ONNX Runtime
  • OpenVINO
  • NNCF
  • INT8 quantization
  • MediaPipe
  • OpenCV

Data & evaluation

  • Paired bootstrap
  • McNemar test
  • Nested cross-validation
  • Ridge regression
  • Profiling

Full-stack

  • Python
  • FastAPI
  • React
  • Flutter
  • PostgreSQL

Tools

  • Git
  • GitHub
  • CI
  • Claude Code